Evolving Data Labeling Landscape
Mark discusses the rapidly changing data labeling landscape and the increasing use of off the shelf models. He highlights the need for specialty applications where customized models are required, such as in medical documentation and sentiment analysis. Mark also addresses the challenges in managing different data labeling approaches and the lack of cohesive tooling in the industry.In this clip
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Practical AI
Production data labeling workflows
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